SEC XBRL (Financial Reporting) MCP Server for CrewAIGive CrewAI instant access to 4 tools to Get Company Concept, Get Company Facts, Get Submissions, and more

Name: SEC XBRL (Financial Reporting)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to SEC XBRL (Financial Reporting) through Vinkius, pass the Edge URL in the `mcps` parameter and every SEC XBRL (Financial Reporting) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The SEC XBRL (Financial Reporting) MCP Server for CrewAI is a standout in the Data Management category — giving your AI agent 4 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="SEC XBRL (Financial Reporting) Specialist",
    goal="Help users interact with SEC XBRL (Financial Reporting) effectively",
    backstory=(
        "You are an expert at leveraging SEC XBRL (Financial Reporting) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in SEC XBRL (Financial Reporting) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 4 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About SEC XBRL (Financial Reporting) MCP Server

Connect your AI agent to the SEC EDGAR database and perform deep financial analysis using standardized XBRL data. This server provides programmatic access to the U.S. Securities and Exchange Commission's public filing infrastructure.

When paired with CrewAI, SEC XBRL (Financial Reporting) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call SEC XBRL (Financial Reporting) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Filing History — Retrieve the complete submission history for any entity using its Central Index Key (CIK)
Company Facts — Fetch the entire dictionary of XBRL facts reported by a company, covering all taxonomies (US-GAAP, IFRS, etc.)
Concept Analysis — Drill down into specific financial concepts (e.g., Net Income, Assets) for a single company over time
Market-Wide Frames — Aggregate specific financial data points across all reporting entities for a particular period and unit

The SEC XBRL (Financial Reporting) MCP Server exposes 4 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 SEC XBRL (Financial Reporting) tools available for CrewAI

When CrewAI connects to SEC XBRL (Financial Reporting) through Vinkius, your AI agent gets direct access to every tool listed below — spanning xbrl, financial-reporting, sec-edgar, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get company concept on SEC XBRL (Financial Reporting)

Get all XBRL disclosures for a single company concept

get

Get company facts on SEC XBRL (Financial Reporting)

Get all company concepts data for a specific company

get

Get submissions on SEC XBRL (Financial Reporting)

Includes metadata and recent filings. Get filing history for a specific entity

get

Get xbrl frames on SEC XBRL (Financial Reporting)

Get aggregated facts for a specific concept and period

Connect SEC XBRL (Financial Reporting) to CrewAI via MCP

Follow these steps to wire SEC XBRL (Financial Reporting) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 4 tools from SEC XBRL (Financial Reporting)

Why Use CrewAI with the SEC XBRL (Financial Reporting) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with SEC XBRL (Financial Reporting) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

SEC XBRL (Financial Reporting) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the SEC XBRL (Financial Reporting) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries SEC XBRL (Financial Reporting) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries SEC XBRL (Financial Reporting), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain SEC XBRL (Financial Reporting) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries SEC XBRL (Financial Reporting) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for SEC XBRL (Financial Reporting) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with SEC XBRL (Financial Reporting) immediately.

"Get the filing history for Microsoft using CIK 789019."

"Show me all XBRL facts reported by Apple (CIK 320193)."

"Compare the 'AccountsPayableCurrent' for all companies in USD for the period CY2023Q3."

Troubleshooting SEC XBRL (Financial Reporting) MCP Server with CrewAI

Common issues when connecting SEC XBRL (Financial Reporting) to CrewAI through Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

SEC XBRL (Financial Reporting) + CrewAI FAQ

Common questions about integrating SEC XBRL (Financial Reporting) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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